CN110830863B - Method for automatically adjusting sensitivity of earphone microphone and earphone - Google Patents

Method for automatically adjusting sensitivity of earphone microphone and earphone Download PDF

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CN110830863B
CN110830863B CN201910973881.8A CN201910973881A CN110830863B CN 110830863 B CN110830863 B CN 110830863B CN 201910973881 A CN201910973881 A CN 201910973881A CN 110830863 B CN110830863 B CN 110830863B
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signal
voice
voice signal
mems microphone
dsp
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CN110830863A (en
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王连杰
齐永涛
赵燕鹏
房晓斐
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Goertek Inc
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Goertek Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00Details of transducers, loudspeakers or microphones
    • H04R1/10Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00Details of transducers, loudspeakers or microphones
    • H04R1/20Arrangements for obtaining desired frequency or directional characteristics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R19/00Electrostatic transducers
    • H04R19/01Electrostatic transducers characterised by the use of electrets
    • H04R19/016Electrostatic transducers characterised by the use of electrets for microphones
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2201/00Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
    • H04R2201/003Mems transducers or their use
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2201/00Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
    • H04R2201/10Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups

Abstract

The invention discloses a method for automatically adjusting the sensitivity of an earphone microphone and an earphone, which relate to the technical field of earphones and are applied to earphones, wherein the earphone comprises a microprocessor MCU (microprogrammed control Unit), a digital signal processor DSP (digital signal processor) and a micro-electromechanical system MEMS (micro-electromechanical system) microphone, and the method comprises the following steps: the MEMS microphone receives voice feedback information fed back by the DSP; the voice feedback information is the required information which is detected by the DSP and needs to amplify or reduce the voice signal picked up by the MEMS microphone; and the MEMS microphone adjusts the ASIC pump voltage and the stored gain information according to the voice feedback information so as to adjust the size of the picked voice signal according to the ASIC pump voltage and the gain information of the special application integrated circuit. The invention can adjust the sensitivity of the earphone microphone in real time and improve the quality of the voice signal received by the DSP, thereby improving the noise reduction effect and ensuring the quality of the uplink voice.

Description

Method for automatically adjusting sensitivity of earphone microphone and earphone
Technical Field
The invention relates to the technical field of earphones, in particular to a method for automatically adjusting the sensitivity of an earphone microphone and an earphone.
Background
Microphones used in existing bluetooth headsets are all fixed in sensitivity, and in order to meet the requirements of DSP algorithms, the size of a voice signal picked up by a microphone is generally changed by increasing or decreasing the gain at the output signal end of the microphone, and the voice signal is transmitted to a DSP for corresponding noise reduction processing. In the actual use process, ordinary bluetooth headset carries out noise reduction processing through DSP algorithm to the speech information, and when the user used bluetooth headset in noisy environment, because the bluetooth headset microphone can only pick up people's voice and ambient noise according to fixed sensitivity to speech signal transmission to DSP that will pick up, because effective speech signal sound is less in the speech signal this moment, DSP can not be fine carries out noise reduction processing to the speech signal that receives, influences the ascending speech quality.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a method for automatically adjusting the sensitivity of an earphone microphone and an earphone.
The technical scheme of the invention is as follows: in a first aspect, the present invention provides a method for automatically adjusting the sensitivity of an earphone microphone, which is applied to an earphone, wherein the earphone comprises a microprocessor MCU, a digital signal processor DSP and a MEMS microphone, and the method comprises: the MEMS microphone receives voice feedback information fed back by the DSP; the voice feedback information is the required information which is detected by the DSP and needs to amplify or reduce the voice signal picked up by the MEMS microphone;
and the MEMS microphone adjusts the ASIC pump voltage and the stored gain information according to the voice feedback information so as to adjust the size of the picked voice signal according to the ASIC pump voltage and the gain information of the special application integrated circuit.
Optionally, the method further comprises:
the MEMS microphone outputs corresponding working voltage according to the ASIC pump voltage, and picks up voice signals;
the MEMS microphone adjusts the size of the picked voice signal according to the gain information, carries out filter noise reduction processing on the adjusted voice signal and sends the processed voice signal to the DSP;
the DSP performs secondary noise reduction processing on the received voice signal, and transmits the voice signal subjected to the secondary noise reduction processing to the MCU so as to enable the MCU to perform corresponding transmission processing;
and the DSP determines whether the gain information of the MEMS microphone needs to be adjusted or not according to the effective voice signal in the voice signal and the ambient noise signal, generates required voice feedback information when determining that the gain information of the MEMS microphone needs to be adjusted, and sends the required voice feedback information to the MEMS microphone.
Optionally, the performing, by the MEMS microphone, filter noise reduction processing on the adjusted voice signal includes:
the MEMS microphone identifies a steady-state noise signal and a non-steady-state signal in the adjusted voice signal;
the MEMS microphone generates a noise reduction signal with the phase opposite to the steady-state noise signal and the same amplitude;
and the MEMS microphone performs noise reduction processing on the steady-state noise signal in the adjusted voice signal by using the noise reduction signal.
Optionally, the voice feedback information is information that the voice signal needs to be enhanced or information that the voice signal needs to be attenuated.
In a second aspect, an embodiment of the present invention provides an earphone, including: a MEMS microphone; the MEMS microphone comprises an ASIC module and an MEMS module; the ASIC module is used for receiving voice feedback information fed back by the DSP and adjusting ASIC pump voltage and stored gain information according to the voice feedback information so as to adjust the size of a picked voice signal according to the ASIC pump voltage and the gain information; the voice feedback information is the required information which is detected by the DSP and needs to amplify or reduce the voice signal picked up by the MEMS microphone;
the MEMS module is used for picking up voice signals.
Optionally, the system also comprises a DSP and an MCU;
the ASIC module is also used for adjusting the size of the voice signal picked up by the MEMS module according to the ASIC pump voltage and the gain information, performing filter noise reduction processing on the adjusted voice signal and sending the processed voice signal to the DSP;
the DSP is used for carrying out secondary noise reduction processing on the received voice signal and sending the voice signal subjected to the secondary noise reduction processing to the MCU so as to enable the MCU to carry out corresponding transmission processing;
the DSP is also used for determining whether the gain information of the MEMS microphone needs to be adjusted or not according to the effective voice signal in the voice signal and the magnitude of the ambient noise signal, generating the required voice feedback information when determining that the gain information of the MEMS microphone needs to be adjusted, and sending the required voice feedback information to the MEMS microphone;
and the MCU is used for receiving the voice signal sent by the DSP and transmitting the voice signal to other electronic equipment.
Optionally, the ASIC module is specifically configured to identify a stationary noise signal and an unsteady signal in the adjusted speech signal;
generating a noise reduction signal with the phase opposite to the steady-state noise signal and the same amplitude;
and carrying out noise reduction processing on the steady-state noise signal in the adjusted voice signal by using the noise reduction signal.
Optionally, the earphone is a bluetooth earphone, and the MCU is a bluetooth chip.
Optionally, the voice feedback information is information that the voice signal needs to be enhanced or information that the voice signal needs to be attenuated.
The invention relates to a method for automatically adjusting the sensitivity of an earphone microphone and an earphone, wherein the earphone comprises an MCU, a DSP and an MEMS microphone, and the MEMS microphone receives voice feedback information fed back by the DSP; and the MEMS microphone adjusts the ASIC pump voltage and the stored gain information according to the voice feedback information so as to adjust the magnitude of the picked voice signal according to the ASIC pump voltage and the gain information. Therefore, the size of the voice signal needing to be adjusted is detected in the process of noise reduction of the DSP of the earphone, at the moment, the voice feedback information can be sent to the MEMS microphone, after the MEMS microphone receives the voice feedback information, corresponding gain information is adjusted according to the voice feedback information, the picked voice signal can be adjusted according to the adjusted gain information, namely, the gain information of the earphone can be adjusted in real time, so that the size of the picked voice signal can be adjusted, the DSP can identify an effective voice signal in the received voice signal, noise reduction processing is carried out on the invalid voice signal, and the quality of uplink voice is guaranteed.
Drawings
Fig. 1 is a schematic flowchart of a method for automatically adjusting sensitivity of an earphone microphone according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another method for automatically adjusting the sensitivity of an earphone microphone according to an embodiment of the present invention;
fig. 3 is an exemplary diagram of a noise reduction method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an earphone according to an embodiment of the present invention.
Detailed Description
In order to make the technical means, technical features, objects and technical effects of the present invention easily understandable, the present invention is further described below with reference to the specific drawings.
As shown in fig. 1, an embodiment of the present invention provides a method for automatically adjusting sensitivity of a microphone of an earphone, where the earphone is applied to an earphone, where the earphone includes an MCU (Micro controller Unit), a DSP (digital signal processor) and an MEMS (Micro-Electro-Mechanical System) microphone, and the method includes:
step 101, the MEMS microphone receives voice feedback information fed back by the DSP.
The voice feedback information is the information which is detected by the DSP and is required for amplifying or reducing the voice signal picked up by the MEMS microphone.
Specifically, when the DSP performs noise reduction processing on the voice information, it determines whether the size of the received voice signal needs to be adjusted, and if so, it may generate corresponding required information that the voice signal picked up by the MEMS microphone needs to be amplified or reduced, that is, the generated voice feedback information, and send the information to the MEMS microphone.
Step 102, the MEMS microphone adjusts the pump voltage of the ASIC (Application Specific Integrated Circuit) and the stored gain information according to the voice feedback information, so as to adjust the magnitude of the picked up voice signal according to the ASIC pump voltage and the gain information.
Specifically, after receiving the voice feedback information, the MEMS microphone may acquire that the gain needs to be increased or decreased according to the voice feedback information, so as to adjust the ASIC pump voltage and the stored gain information, that is, adjust the charge pump inside the ASIC to output a corresponding BIAS voltage, and adjust the register configuration information to adjust the gain, thereby adjusting the sensitivity of the microphone.
For example, when the DSP performs noise reduction processing on a voice signal, it finds that an effective voice signal is too small, and needs to amplify the signal. At this time, the DSP can generate voice feedback information to be signal enhanced and send the voice feedback information to the MEMS microphone. After receiving the voice feedback information, the MEMS microphone obtains the signal enhancement through analysis. At the moment, the MEMS microphone adjusts a charge pump in the ASIC to output higher BIAS voltage to the MEMS chip, and simultaneously adjusts the configuration information of the register to increase the gain, so that the picked voice signals can be subjected to signal amplification processing in the following process.
Optionally, the voice feedback information is information that the voice signal needs to be enhanced, or information that the voice signal needs to be attenuated.
Therefore, the size of the voice signal needing to be adjusted is detected in the noise reduction process of the DSP of the earphone, the voice feedback information can be sent to the MEMS microphone at the moment, after the MEMS microphone receives the voice feedback information, the corresponding gain information is adjusted according to the voice feedback information, the picked voice signal can be adjusted according to the adjusted gain information, namely the gain information of the earphone can be adjusted in real time, the size of the picked voice signal can be adjusted, the DSP can identify an effective voice signal in the received voice signal, noise reduction processing is carried out on the invalid voice signal, and the quality of the uplink voice is guaranteed.
Further, as shown in fig. 2, the method further includes:
and 103, outputting corresponding working voltage by the MEMS microphone according to the ASIC pump voltage, and picking up voice signals.
It should be noted that, a diaphragm and a sensor backplate opposite to the diaphragm are included in the MEMS microphone, and a capacitance is formed between the two. The back plate is of a porous structure and has good rigidity, and the vibrating diaphragm is thin and easy to bend. When the air pressure caused by sound waves changes, the diaphragm can bend along with the air pressure change, the back plate is porous and rigid, and when the air flows through the back plate, the back plate is kept static. When the diaphragm moves, the capacitance between the diaphragm and the backplate will change. An ASIC-related device inside the MEMS microphone may convert this capacitance change into an electrical signal.
Specifically, in the MEMS microphone, a charge pump inside the ASIC outputs an ASIC pump voltage to the diaphragm as a reference voltage, and when the diaphragm moves to cause a change in capacitance between the diaphragm and the backplate, the ASIC-related device detects the voltage change, converts it into an electrical signal, i.e., picks up a voice signal. Therefore, when the MEMS microphone converts the acoustic signal into an electrical signal according to the ASIC pump voltage adjusted in step 102, the converted electrical signal is also adjusted accordingly. That is, when the ASIC pump voltage is adjusted to be high, the electrical signal converted by the MEMS microphone is also increased, and when the ASIC pump voltage is adjusted to be low, the signal converted by the MEMS microphone is also decreased.
And step 104, the MEMS microphone adjusts the size of the picked voice signal according to the gain information, performs filter noise reduction processing on the adjusted voice signal, and sends the processed voice signal to the DSP.
Specifically, after the MEMS microphone picks up the voice signal, the voice signal is amplified or reduced according to the gain information, so as to convert the voice signal into a signal required by the DSP. After the voice signals are correspondingly amplified or reduced and adjusted, the MEMS microphone carries out filtering and noise reduction processing on the adjusted voice signals, partial noise signals are filtered, effective voice signals are highlighted, so that the DSP can carry out noise reduction processing more accurately, and the uplink call quality is improved.
Further, the filter denoising processing of the adjusted voice signal by the MEMS microphone includes: the MEMS microphone identifies a steady-state noise signal and an unsteady-state signal in the adjusted voice signal; the MEMS microphone generates a noise reduction signal with the phase opposite to the steady-state noise signal and the same amplitude; and the MEMS microphone performs noise reduction processing on the steady-state noise signal in the adjusted voice signal by using the noise reduction signal.
Specifically, the MEMS microphone recognizes stationary noise signals, such as regular sound signals of airplanes, subways, and the like, and non-stationary signals, such as human sound signals, among voice signals. Since the voice signal of the user needs to be transmitted to other electronic devices, the MEMS microphone recognizes the steady-state noise signal and determines it as a noise signal. In this case, as shown in fig. 3, a signal with the same amplitude and phase opposite to the identified stationary noise signal may be generated from the identified stationary noise signal, and the stationary noise signal in the speech signal may be eliminated by superimposing the signal with the speech signal, thereby implementing noise reduction processing on the stationary noise signal in the adjusted speech signal.
It should be noted that, in the present application, the non-stationary signal may include a non-stationary noise signal in addition to the effective speech signal, and the present application does not limit the signal included in the non-stationary signal.
And 105, carrying out secondary noise reduction processing on the received voice signal by the DSP, and transmitting the voice signal subjected to the secondary noise reduction processing to the MCU so as to enable the MCU to carry out corresponding transmission processing.
Specifically, the MEMS microphone sends the processed voice signal to the DSP, and after the DSP receives the voice signal, the DSP can recognize the voice signal and the ambient noise signal and generate a signal with the phase opposite to that of the ambient noise and the same amplitude, and the signal is superposed with the received voice signal to eliminate the ambient noise in the voice signal, so that the ambient noise can be better eliminated, and the voice quality is ensured. After the DSP performs the secondary noise reduction, the speech signal after the secondary noise reduction is sent to the MCU, and the MCU performs corresponding processing according to the received speech signal, for example, the speech signal is transmitted to other electronic devices.
And 106, determining whether the gain information of the MEMS microphone needs to be adjusted or not by the DSP according to the effective voice signal in the voice signal and the ambient noise signal, generating the required voice feedback information when determining that the gain information of the MEMS microphone needs to be adjusted, and sending the required voice feedback information to the MEMS microphone.
Specifically, when the DSP performs the secondary noise reduction processing on the voice signal, it may determine whether to adjust the gain information at the MEMS microphone according to the magnitude of the effective voice signal and the ambient noise. For example, when the ambient noise is large and the effective voice signal in the voice signal is small, the voice signal needs to be increased to amplify the effective voice signal, so the DSP can generate the voice feedback information of the voice signal needing to be increased and send the voice feedback information to the MEMS microphone.
It should be noted that, the execution sequence between the step 105 and the step 106 is not limited in the present invention, and the step 105 may be executed first to execute the step 106, the step 106 may be executed first to execute the step 105, or the step 105 and the step 106 may be executed simultaneously.
Therefore, the size of the voice signal needing to be adjusted is detected in the process of noise reduction of the DSP of the earphone, at the moment, the voice feedback information can be sent to the MEMS microphone, after the MEMS microphone receives the voice feedback information, corresponding gain information is adjusted according to the voice feedback information, the picked voice signal can be adjusted according to the adjusted gain information, namely, the gain information of the earphone can be adjusted in real time, so that the size of the picked voice signal can be adjusted, the DSP can identify an effective voice signal in the received voice signal, noise reduction processing is carried out on the invalid voice signal, and the quality of uplink voice is guaranteed.
As shown in fig. 4, an embodiment of the present invention provides an earphone, including: a MEMS microphone 40; the MEMS microphone 40 includes an ASIC module 401, a MEMS module 402.
The ASIC module 401 is configured to receive the voice feedback information fed back by the DSP, and adjust the ASIC pump voltage and the stored gain information according to the voice feedback information, so as to adjust the magnitude of the picked-up voice signal according to the ASIC pump voltage and the gain information.
The voice feedback information is the information which is detected by the DSP and is required for amplifying or reducing the voice signal picked up by the MEMS microphone.
MEMS module 402 for picking up voice signals.
Further, as shown in fig. 4, the earphone further includes: a DSP50 and a MCU 60.
The ASIC module 401 is further configured to adjust the size of the voice signal picked up by the MEMS module 402 according to the ASIC pump voltage and the gain information, perform filter noise reduction processing on the adjusted voice signal, and send the processed voice signal to the DSP 50.
Specifically, the ASIC module 401 is specifically configured to identify a stationary noise signal and an unsteady signal in the adjusted voice signal; generating a noise reduction signal with the phase opposite to the steady-state noise signal and the same amplitude; and carrying out noise reduction processing on the steady-state noise signal in the adjusted voice signal by using a noise reduction signal.
The DSP50 is configured to perform secondary noise reduction on the received voice signal, and send the voice signal subjected to the secondary noise reduction to the MCU60, so that the MCU60 performs corresponding transmission processing.
The DSP50 is further configured to determine whether the gain information at the MEMS microphone needs to be adjusted according to the magnitudes of the effective voice signal and the ambient noise signal in the voice signal, and generate the required voice feedback information to send to the MEMS microphone 40 when determining that the gain information at the MEMS microphone needs to be adjusted.
And the MCU60 is used for receiving the voice signal sent by the DSP50 and transmitting the voice signal to other electronic equipment.
Further, the earphone is a bluetooth earphone, and the MCU60 is a bluetooth chip.
Further, the voice feedback information is information that the voice signal needs to be enhanced or information that the voice signal needs to be attenuated.
The method comprises the steps that the size of a voice signal needing to be adjusted is detected in the process of noise reduction of a DSP of an earphone, at the moment, voice feedback information can be sent to an MEMS microphone, after the MEMS microphone receives the voice feedback information, corresponding gain information is adjusted according to the voice feedback information, and then the picked voice signal can be adjusted according to the adjusted gain information, namely the gain information of the earphone can be adjusted in real time, so that the size of the picked voice signal can be adjusted, the DSP can identify an effective voice signal in the received voice signal, noise reduction processing is carried out on the ineffective voice signal, and the quality of uplink voice is guaranteed.
In summary, the embodiments of the present invention are merely exemplary and should not be construed as limiting the scope of the invention. All equivalent changes and modifications made according to the content of the claims of the present invention should fall within the technical scope of the present invention.

Claims (7)

1. A method for automatically adjusting the sensitivity of an earphone is applied to the earphone, the earphone comprises a microprocessor MCU, a digital signal processor DSP and a micro electro mechanical system MEMS microphone, and the method comprises the following steps:
the MEMS microphone receives voice feedback information fed back by the DSP; the voice feedback information is the required information which is detected by the DSP and needs to amplify or reduce the voice signal picked up by the MEMS microphone;
the MEMS microphone adjusts the ASIC pump voltage and the stored gain information according to the voice feedback information so as to adjust the size of the picked voice signal according to the ASIC pump voltage and the gain information of the special application integrated circuit;
the MEMS microphone outputs corresponding working voltage according to the ASIC pump voltage, and picks up voice signals;
the MEMS microphone adjusts the size of the picked voice signal according to the gain information, performs filter noise reduction processing on the adjusted voice signal, and sends the processed voice signal to the DSP;
the DSP performs secondary noise reduction processing on the received voice signal, and sends the voice signal subjected to the secondary noise reduction processing to the MCU so as to enable the MCU to perform corresponding transmission processing;
and the DSP determines whether the gain information of the MEMS microphone needs to be adjusted or not according to the effective voice signal in the voice signal and the ambient noise signal, generates required voice feedback information when determining that the gain information of the MEMS microphone needs to be adjusted, and sends the required voice feedback information to the MEMS microphone.
2. The method of claim 1, wherein the MEMS microphone performing filter noise reduction processing on the adjusted voice signal comprises:
the MEMS microphone identifies a steady-state noise signal and an unsteady-state signal in the adjusted voice signal;
the MEMS microphone generates a noise reduction signal with the phase opposite to the steady-state noise signal and the same amplitude;
and the MEMS microphone performs noise reduction processing on the steady-state noise signal in the adjusted voice signal by using the noise reduction signal.
3. The method of claim 1, wherein the voice feedback information is information that the voice signal needs to be enhanced or information that the voice signal needs to be attenuated.
4. An earphone, comprising: a MEMS microphone; the MEMS microphone comprises an ASIC module and an MEMS module; wherein the content of the first and second substances,
the ASIC module is used for receiving voice feedback information fed back by the DSP and adjusting ASIC pump voltage and stored gain information according to the voice feedback information so as to adjust the size of a picked voice signal according to the ASIC pump voltage and the gain information; the voice feedback information is the required information which is detected by the DSP and needs to amplify or reduce the voice signal picked up by the MEMS microphone;
the MEMS module is used for picking up voice signals;
the system also comprises a DSP and an MCU;
the ASIC module is also used for adjusting the size of the voice signal picked up by the MEMS module according to the ASIC pump voltage and the gain information, performing filter noise reduction processing on the adjusted voice signal and sending the processed voice signal to the DSP;
the DSP is used for carrying out secondary noise reduction processing on the received voice signal and sending the voice signal subjected to the secondary noise reduction processing to the MCU so as to enable the MCU to carry out corresponding transmission processing;
the DSP is also used for determining whether the gain information of the MEMS microphone needs to be adjusted or not according to the effective voice signal in the voice signal and the magnitude of the ambient noise signal, generating the required voice feedback information when determining that the gain information of the MEMS microphone needs to be adjusted, and sending the required voice feedback information to the MEMS microphone;
and the MCU is used for receiving the voice signal sent by the DSP and transmitting the voice signal to other electronic equipment.
5. The headset of claim 4, wherein:
the ASIC module is specifically configured to identify a stationary noise signal and an unsteady signal in the adjusted voice signal;
generating a noise reduction signal with the phase opposite to the steady-state noise signal and the same amplitude;
and carrying out noise reduction processing on the steady-state noise signal in the adjusted voice signal by using the noise reduction signal.
6. The headset of claim 4, wherein the headset is a Bluetooth headset and the MCU is a Bluetooth chip.
7. The earphone of claim 4, wherein the voice feedback information is information that the voice signal needs to be enhanced or information that the voice signal needs to be attenuated.
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